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  Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions

  Lucy Chimoyi, Zvifadzo Matsena-Zingoni, Salome Charalambous, Edmore Marinda, Samuel Manda, Eustasius Musenge

  29-08-2022

  https://doi.org/10.4081/gh.2022.1084

  2020

  PDF: 511

  Supplementary 1: 111

  Supplementary 2: 275

  HTML: 149

• Mapping and predicting malaria transmission in the People's Republic of China, using integrated biology-driven and statistical models

  Guo-Jing Yang, Qi Gao, Shui-Sen Zhou, John B. Malone, Jennifer C. McCarroll, Marcel Tanner, Penelope Vounatsou, Robert Bergquist, Jürg Utzinger, Xiao-Nong Zhou

  11-22

  01-11-2010

  https://doi.org/10.4081/gh.2010.183

  2967

  PDF: 1476
• 

  Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia

  Kabeya Clement Mulamba

  12-05-2025

  https://doi.org/10.4081/gh.2025.1340

  1196

  PDF: 207

  HTML: 48
• 

  Spatial and temporal analysis of the human immunodeficiency virus in an area of social vulnerability in Northeast Brazil

  Géssyca Cavalcante de Melo, Emilia Carolle Azevedo de Oliveira, Iane Brito Leal, Carolina Piedade Morais de Freitas Soares Silva, Roberta Andrade Beltrão, Allan Dantas dos Santos, Renata Karina Reis, Marco Antônio Prado Nunes, Karina Conceição Gomes Machado de Araujo

  26-11-2020

  https://doi.org/10.4081/gh.2020.863

  2972

  PDF: 1037

  HTML: 34
• 

  Report-back for geo-referenced environmental data: A case study on personal monitoring of temperature in outdoor workers

  Laura Thompson, Maggie Sugg, Jennifer Runkle

  07-05-2018

  https://doi.org/10.4081/gh.2018.629

  2358

  PDF: 1053

  APPENDIX: 340

  HTML: 76
• 

  The spatial and seasonal distribution of Bulinus truncatus, Bulinus forskalii and Biomphalaria pfeifferi, the intermediate host snails of schistosomiasis, in N'Djamena, Chad

  Wendelin Moser, Helena Greter, Christian Schindler, Fiona Allan, Bongo N. R. Ngandolo, Daugla D. Moto, Jürg Utzinger, Jakob Zinsstag

  109-118

  01-11-2014

  https://doi.org/10.4081/gh.2014.9

  5905

  PDF: 1992
• 

  Spatial patterns of Plasmodium vivax transmission explored by multivariate auto-regressive state-space modelling - A case study in Baoshan Prefecture in southern China

  Jinxin Zheng, Benyun Shi, Shang Xia, Guojing Yang, Xiao-Nong Zhou

  12-03-2021

  https://doi.org/10.4081/gh.2021.879

  1667

  PDF: 670

  HTML: 22
• 

  Spatiotemporal heterogeneity of SARS-CoV-2 diffusion at the city level using geographically weighted Poisson regression model: The case of Bologna, Italy

  Addisu Jember Zeleke, Rossella Miglio, Pierpaolo Palumbo, Paolo Tubertini, Lorenzo Chiari, Bologna MODELS4COVID Study Group of the University of Bologna and the National Institute for Nuclear Physics (INFN)

  01-12-2022

  https://doi.org/10.4081/gh.2022.1145

  1547

  PDF: 875

  Appendix: 110

  HTML: 70
• 

  A geographical information system model to define COVID-19 problem areas with an analysis in the socio-economic context at the regional scale in the North of Spain

  Olga De Cos, Valentín Castillo-Salcines, David Cantarero-Prieto

  18-03-2022

  https://doi.org/10.4081/gh.2022.1067

  1583

  PDF: 494

  HTML: 36

• Using climate information for improved health in Africa: relevance, constraints and opportunities

  Stephen J. Connor, Pietro Ceccato, Tufa Dinku, Judy Omumbo, Emily K. Grover-Kopec, Madeleine C. Thomson

  17-31

  01-11-2006

  https://doi.org/10.4081/gh.2006.278

  1324

  PDF: 785
• 

  Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa

  Thandi Kapwata, Michael T. Gebreslasie

  16-11-2016

  https://doi.org/10.4081/gh.2016.434

  3963

  PDF: 1684

  APPENDIX 1: 440

  APPENDIX 2: 437

  HTML: 1639
• 

  Spatial association of public sports facilities with body mass index in Korea

  Eun Jin Han, Kiyeon Kang, So Young Sohn

  07-05-2018

  https://doi.org/10.4081/gh.2018.542

  2279

  PDF: 979

  HTML: 89
• 

  The influence of the built environment on outcomes from a walking school bus study: a cross-sectional analysis using geographical information systems

  Nicolas M. Oreskovic, Jeff Blossom, Alyssa I. Robinson, Minghua L. Chen, Doris K. Uscanga, Jason A. Mendoza

  37-44

  01-11-2014

  https://doi.org/10.4081/gh.2014.4

  1921

  PDF: 1236
• 

  Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study

  Juan Adrian Wiranata, Herindita Puspitaningtyas, Susanna Hilda Hutajulu, Jajah Fachiroh, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan

  25-05-2023

  https://doi.org/10.4081/gh.2023.1186

  1557

  PDF: 901

  HTML: 44

• SandflyMap: leveraging spatial data on sand fly vector distribution for disease risk assessments

  Desmond H. Foley, Richard C. Wilkerson, L. Lynnette Dornak, David B. Pecor, Arpad S. Nyari, Leopoldo M. Rueda, Lewis S. Long, Jason H. Richardson

  S25-S30

  01-09-2012

  https://doi.org/10.4081/gh.2012.119

  2225

  PDF: 974
• 

  Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology

  Nicola A. Wardrop, Matthew Geary, Patrick E. Osborne, Peter M. Atkinson

  237-246

  01-11-2014

  https://doi.org/10.4081/gh.2014.397

  2193

  PDF: 1000

• Comments on Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis by Tipayamongkholgul and Lisakulruk

  Subhash C. Arya, Nirmala Agarwal

  3

  01-11-2011

  https://doi.org/10.4081/gh.2011.150

  1033

  PDF: 765

• Mapping and modelling the geographical distribution of soil-transmitted helminthiases in Peninsular Malaysia: implications for control approaches

  Romano Ngui, Aziz Shafie, Kek H. Chua, Mohd S. Mistam, Hesham M. Al-Mekhlafi, Wan W. W. Sulaiman, Rohela Mahmud, Yvonne A. L. Lim

  365-376

  01-05-2014

  https://doi.org/10.4081/gh.2014.26

  4259

  PDF: 1265

• Assessing the risk for dengue fever based on socioeconomic and environmental variables in a geographical information system environment

  Hassan M. Khormi, Lalit Kumar

  171-176

  01-05-2012

  https://doi.org/10.4081/gh.2012.135

  3152

  PDF: 1244

• Spatial analysis of Neospora caninum distribution in dairy cattle from Sweden

  Jenny Frössling, Ane Nødtvedt, Ann Lindberg, Camilla Björkman

  39-45

  01-11-2008

  https://doi.org/10.4081/gh.2008.230

  1475

  PDF: 808
• 

  Geospatial tools and Chagas control: a critical comment on the paper of Weinberg et al., Evaluation and planning of Chagas control activities using geospatial tools. Geospat Health 2019;14:229-238

  David E. Gorla

  22-06-2020

  https://doi.org/10.4081/gh.2020.901

  738

  PDF: 460

  HTML: 12
• 

  Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City

  Dustin T. Duncan, Ryan R. Ruff, Basile Chaix, Seann D. Regan, James H. Williams, Joseph Ravenell, Marie A. Bragg, Gbenga Ogedegbe, Brian Elbel

  31-05-2016

  https://doi.org/10.4081/gh.2016.399

  3964

  PDF: 1876

  HTML: 1483
• 

  Spatial clustering of colorectal cancer in Malaysia

  Sharifah Saffinas Syed Soffian, Azmawati Mohammed Nawi, Rozita Hod, Khairul Nizam Abdul Maulud, Ahmad Tarmizi Mohd Azmi, Mohd Hazrin Hasim Hashim, Huan-Keat Chan, Muhammad Radzi Abu Hassan

  25-05-2023

  https://doi.org/10.4081/gh.2023.1158

  1425

  PDF: 653

  HTML: 12
• 

  Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia

  Kefyalew Addis Alene, Kerri Viney, Emma S. McBryde, Archie C.A. Clements

  27-11-2017

  https://doi.org/10.4081/gh.2017.575

  3456

  PDF: 1185

  APPENDIX: 388

  HTML: 844
• 

  Spatio-temporal cluster detection of chickenpox in Valencia, Spain in the period 2008-2012

  Adina Iftimi, Francisco Martínez-Ruiz, Ana Míguez Santiyán, Francisco Montes

  18-05-2015

  https://doi.org/10.4081/gh.2015.341

  2933

  PDF: 1304

  HTML: 1195

• Spatial analysis of bluetongue cases and vaccination of Swiss cattle in 2008 and 2009

  Katriina J. E. Willgert, Birgit Schroedle, Heinzpeter Schwermer

  227-237

  01-05-2011

  https://doi.org/10.4081/gh.2011.175

  1277

  PDF: 910
• 

  Spatiotemporal patterns of mortality associated with chronic non-communicable diseases and child malnutrition at the municipal level in Mexico

  José Mauricio Galeana-Pizaña, Leslie Verdeja-Vendrell, Lizbeth Ixchel Díaz-Trejo, Carlos Anzaldo, Daniela Figueroa, Aldo Daniel Jiménez-Ortega

  17-05-2022

  https://doi.org/10.4081/gh.2022.1087

  1432

  PDF: 770

  Appendix: 132

  HTML: 60
• 

  Impact of climate variability on the occurrence of cutaneous leishmaniasis in Khuzestan Province, southwestern Iran

  Farideh Azimi, Sadegh Shirian, Saranaz Jangjoo, Arman Ai, Tahereh Abbasi

  08-05-2017

  https://doi.org/10.4081/gh.2017.478

  2754

  PDF: 1302

  HTML: 1046

• Spatial distribution of Biomphalaria spp., the intermediate host snails of Schistosoma mansoni, in Brazil

  Ronaldo G.C. Scholte, Omar S. Carvalho, John B. Malone, Jürg Utzinger, Penelope Vounatsou

  S95-S101

  01-09-2012

  https://doi.org/10.4081/gh.2012.127

  5010

  PDF: 2132
• 

  Geographic distribution of canine heartworm (Dirofilaria immitis) infection in stray dogs of eastern Romania

  Lavinia Ciucă, Vincenzo Musella, Liviu D. Miron, Maria Paola Maurelli, Giuseppe Cringoli, Antonio Bosco, Laura Rinaldi

  21-11-2016

  https://doi.org/10.4081/gh.2016.499

  4282

  PDF: 1603

  HTML: 2267
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  Optimizing vaccination sites for infectious diseases based on heterogeneous travel modes in multiple scenarios

  Wentao Yang, Fengjie Wang, Yihan You, Zhixiong Fang, Xing Wang, Xiaoming Mei

  24-03-2025

  https://doi.org/10.4081/gh.2025.1362

  1591

  PDF: 323

  HTML: 83
• 

  Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran

  Mohammadreza Rajabi, Ali Mansourian, Petter Pilesjö, Ahad Bazmani

  179-191

  01-11-2014

  https://doi.org/10.4081/gh.2014.15

  7196

  PDF: 1470

• The use of spatial tools in the study of Schistosoma mansoni and its intermediate host snails in Brazil: a brief review

  Andrea Gazzinelli, Helmut Kloos

  51-58

  01-11-2007

  https://doi.org/10.4081/gh.2007.254

  1994

  PDF: 907

• Impact of climate change and man-made irrigation systems on the transmission risk, long-term trend and seasonality of human and animal fascioliasis in Pakistan

  Kiran Afshan, Cesar A. Fortes-Lima, Patricio Artigas, M. Adela Valero, Mazhar Qayyum, Santiago Mas-Coma

  317-334

  01-05-2014

  https://doi.org/10.4081/gh.2014.22

  26525

  PDF: 2181

• Climate-based risk models for Fasciola hepatica in Colombia

  Natalia Valencia-Lòpez, John B. Malone, Catalina Gòmez Carmona, Luz E. Velásquez

  S75-S85

  01-09-2012

  https://doi.org/10.4081/gh.2012.125

  2854

  PDF: 1479

• Correlation between normalized difference vegetation index and malaria in a subtropical rain forest undergoing rapid anthropogenic alteration

  Nicole M. Wayant, Diego Maldonado, Antonieta Rojas de Arias, Blanca Cousiño, Douglas G. Goodin

  179-190

  01-05-2010

  https://doi.org/10.4081/gh.2010.199

  3244

  PDF: 1247
• 

  Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring

  Jihong Zhang, Guohua Yin, Qiuhua Zhang, Juan Fang, Duo Jiang, Chao Yang, Na Sun

  28-04-2025

  https://doi.org/10.4081/gh.2025.1286

  1224

  PDF: 301

  HTML: 77

• Spatial and spatio-temporal clusters of lung cancer incidence by stage of disease in Michigan, United States 1985-2018

  Qiong Zhang, Shangrui Zhu, Sue C. Grady, Anqi Wang, Hollis Hutchings, Jessica Cox, Andrew Popoff, Ikenna Okereke

  14-02-2024

  https://doi.org/10.4081/gh.2024.1219

  6368

  PDF: 979

  Supplementary Materials: 125

  HTML: 82

• Rapid GIS-based profiling of West Nile virus transmission: defining environmental factors associated with an urbansuburban outbreak in Northeast Ohio, USA

  A. Desiree LaBeaud, Ann-Marie Gorman, Joe Koonce, Christopher Kippes, John McLeod, Joe Lynch, Timothy Gallagher, Charles H. King, Anna M. Mandalakas

  215-225

  01-05-2008

  https://doi.org/10.4081/gh.2008.245

  2164

  PDF: 836

• Perspectives on using remotely-sensed imagery in predictive veterinary epidemiology and global early warning systems

  Vincent Martin, Lorenzo De Simone, Juan Lubroth, Pietro Ceccato, Véronique Chevalier

  3-14

  01-11-2007

  https://doi.org/10.4081/gh.2007.250

  1707

  PDF: 959
• 

  Advanced analysis of depression tendency in China: an investigation of environmental and social factors based on geographical and temporal weighted regression

  Yanhong Xu, Zhilin Hong, Huimei Lin, Xiaofeng Huang

  21-07-2025

  https://doi.org/10.4081/gh.2025.1385

  508

  PDF: 140

  HTML: 20
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  Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach

  Sami Ullah, Hanita Daud, Sarat C. Dass, Habib Nawaz Khan, Alamgir Khalil

  06-11-2017

  https://doi.org/10.4081/gh.2017.567

  2729

  PDF: 1003

  HTML: 697
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  Preferential sampling in veterinary parasitological surveillance

  Lorenzo Cecconi, Annibale Biggeri, Laura Grisotto, Veronica Berrocal, Laura Rinaldi, Vincenzo Musella, Giuseppe Cringoli, Dolores Catelan

  18-04-2016

  https://doi.org/10.4081/gh.2016.412

  2048

  PDF: 1545

  APPENDIX: 565

  HTML: 1033
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  Spatial analysis and modelling of depression relative to social vulnerability index across the United States

  Kiara M. Rivera, Abolfazl Mollalo

  01-09-2022

  https://doi.org/10.4081/gh.2022.1132

  4102

  PDF: 1912

  HTML: 480
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  Vulnerability to COVID-19 in Pernambuco, Brazil: A geospatial evaluation supported by multiple-criteria decision aid methodology

  Ciro José Jardim de Figueiredo, Caroline Maria de Miranda Mota, Amanda Gadelha Ferreira Rosa, Arthur Pimentel Gomes de Souza, Simone Maria da Silva Lima

  14-01-2022

  https://doi.org/10.4081/gh.2022.1000

  2492

  PDF: 460

  HTML: 44
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  Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

  Sue C. Grady, April N. Frake, Qiong Zhang, Matlhogonolo Bene, Demetrice R. Jordan, Joshua Vertalka, Thania C. Dossantos, Ameen Kadhim, Judith Namanya, Lisa-Marie Pierre, Yi Fan, Peiling Zhou, Fatoumata B. Barry, Libbey Kutch

  26-05-2017

  https://doi.org/10.4081/gh.2017.501

  9009

  PDF: 4252

  HTML: 2189
• 

  Dynamic effect of economic growth on the persistence of suicide rates

  Tzu-Yi Yang, Yu-Tai Yang, Ssu-Han Chen, Yu-Ting Lan, Chia-Jui Peng

  25-05-2023

  https://doi.org/10.4081/gh.2023.1201

  765

  PDF: 535

  HTML: 31
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  Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis

  Xiao Li, Amanda Staudt, Lung-Chang Chien

  21-11-2016

  https://doi.org/10.4081/gh.2016.439

  2583

  PDF: 1222

  APPENDIX: 425

  HTML: 1130
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  A Bayesian spatiotemporal Poisson conditional autoregressive model for dengue haemorrhagic fever in Indonesia integrating satellite-generated environmental data

  Sukarna Sukarna, Hari Wijayanto, Yenni Angraini, Anang Kurnia

  18-07-2025

  https://doi.org/10.4081/gh.2025.1379

  651

  PDF: 305

  HTML: 27
• 

  Prioritizing the location of vaccination centres during the COVID-19 pandemic by bike in the Netherlands

  Adel Al-Huraibi, Sherif Amer, Justine Blanford

  03-03-2025

  https://doi.org/10.4081/gh.2025.1293

  1832

  PDF: 535

  HTML: 78
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  Spatio-temporal analysis of tuberculosis incidence in North Aceh District, Indonesia 2019-2021

  Farrah Fahdhienie, Frans Yosep Sitepu

  29-11-2022

  https://doi.org/10.4081/gh.2022.1148

  2049

  PDF: 1330

  HTML: 118
• 

  Evaluation of spatial cluster detection methods for dengue fever in the state of Paraiba, Brazil

  Alline Oliveira do Nascimento Veloso, Leonardo Wanderley Lopes, Ronei Marcos de Moraes

  27-10-2025

  https://doi.org/10.4081/gh.2025.1393

  123

  PDF: 62

  HTML: 0
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  Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

  Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez

  18-04-2016

  https://doi.org/10.4081/gh.2016.415

  3461

  PDF: 1750

  HTML: 2225
• 

  Modelling recent and future climatic suitability for fasciolosis in Europe

  Cyril Caminade, Jan van Dijk, Matthew Baylis, Diana Williams

  301-308

  19-03-2015

  https://doi.org/10.4081/gh.2015.352

  4172

  PDF: 1601
• 

  There is more to satellite imagery than meets the eye

  Robert Bergquist, John B. Malone

  31-05-2022

  https://doi.org/10.4081/gh.2022.1106

  2410

  PDF: 520

  HTML: 19
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  A breeding site model for regional, dynamical malaria simulations evaluated using in situ temporary ponds observations

  Ernest O. Asare, Adrian M. Tompkins, Leonard K. Amekudzi, Volker Ermert

  31-03-2016

  https://doi.org/10.4081/gh.2016.390

  2637

  PDF: 1088

  HTML: 1097
• 

  Exploring geomasking methods for geoprivacy: a pilot study in an environment with built features

  Alok Tiwari, Sohail Ahmad, Emad Qurunflah, Mansour Helmi, Ayad Almaimani, Alaa Alaidroos, Majed Mustafa Hallawani

  17-10-2023

  https://doi.org/10.4081/gh.2023.1205

  1078

  PDF: 567

  HTML: 190
• 

  The geo-spatial perspective of biological, social and environmental determinants of early pregnancy anaemia in rural Sri Lanka: Need for context-specific approaches on prevention

  Gayani Shashikala Amarasinghe, Thilini Chanchala Agampodi, Vasana Mendis, Suneth Buddhika Agampodi

  29-11-2022

  https://doi.org/10.4081/gh.2022.1110

  1338

  PDF: 826

  HTML: 29
• 

  A spatiotemporal analysis of COVID-19 transmission in Jakarta, Indonesia for pandemic decision support

  Agung Syetiawan, Mira Harimurti, Yosef Prihanto

  14-01-2022

  https://doi.org/10.4081/gh.2022.1042

  3835

  PDF: 551

  HTML: 99
• 

  Reply: Geospatial tools and Chagas control: A critical comment on the paper published under Weinberg et al., Evaluation and planning of Chagas control activities using geospatial tools. Geospat Health 2019;14:229-238

  Diego Weinberg

  24-06-2020

  https://doi.org/10.4081/gh.2020.907

  697

  PDF: 496

  HTML: 11
• 

  Global spreading of Omicron variant of COVID-19

  Pengxin Zhang, Shuhan Yang, Shaoqing Dai, Darren How Jin Aik, Shujuan Yang, Peng Jia

  13-07-2022

  https://doi.org/10.4081/gh.2022.1083

  1695

  PDF: 730

  HTML: 48
• 

  Associations between time spent in green areas and physical activity among late middle-aged adults

  Bart Dewulf, Tijs Neutens, Delfien Van Dyck, Ilse De Bourdeaudhuij, Steven Broekx, Carolien Beckx, Nico Van de Weghe

  16-11-2016

  https://doi.org/10.4081/gh.2016.411

  2877

  PDF: 1545

  HTML: 873
• 

  Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis

  Sang Min Lee, Dong Woo Huh, Young Gyu Kwon

  11-03-2025

  https://doi.org/10.4081/gh.2025.1295

  1885

  PDF: 485

  Supplementary materials: 169

  HTML: 96
• 

  Urbanisation and its effect on risk factors associated with childhood diarrhoea in Mbour, Senegal: A visualisation

  Sokhna Thiam, Samuel Fuhrimann, Aminata Niang-Diène, Ibrahima Sy, Ousmane Faye, Jürg Utzinger, Guéladio Cissé

  27-11-2017

  https://doi.org/10.4081/gh.2017.632

  2348

  PDF: 929

  VIDEO: 0

  HTML: 854
• 

  Quantifying human-environment interactions using videography in the context of infectious disease transmission

  Timothy R. Julian, Carla Bustos, Laura H. Kwong, Alejandro D. Badilla, Julia Lee, Heather N. Bischel, Robert A. Canales

  08-05-2018

  https://doi.org/10.4081/gh.2018.631

  2156

  PDF: 931

  Video: 0

  HTML: 91
• 

  The geographic environment and the frequency of falling: a study of mortality outcomes in elderly people in China

  Yi Huang, Chen Li, Xianjing Lu, Yue Wang

  25-05-2023

  https://doi.org/10.4081/gh.2023.1180

  690

  PDF: 478

  HTML: 4
• 

  Investigating spatiotemporal patterns of the COVID-19 in São Paulo State, Brazil

  Enner Alcântara, José Mantovani, Luiz Rotta, Edward Park, Thanan Rodrigues, Fernando Campos Carvalho, Carlos Roberto Souza Filho

  26-11-2020

  https://doi.org/10.4081/gh.2020.925

  3694

  PDF: 1210

  HTML: 21
• 

  Projecting malaria hazard from climate change in eastern Africa using large ensembles to estimate uncertainty

  Joseph Leedale, Adrian M. Tompkins, Cyril Caminade, Anne E. Jones, Grigory Nikulin, Andrew P. Morse

  31-03-2016

  https://doi.org/10.4081/gh.2016.393

  4193

  PDF: 1687

  HTML: 2549

• A two-stage location model covering COVID-19 sampling, transport and DNA diagnosis: design of a national scheme for infection control

  Wang Fei, Lv Jiamin, Wang Chunting, Li Yuling, Xi Yuetuing

  26-09-2024

  https://doi.org/10.4081/gh.2024.1281

  1022

  PDF: 382

  HTML: 76
• 

  A spatiotemporal analysis of the social determinants of health for COVID-19

  Claire Bonzani, Peter Scull, Daisaku Yamamoto

  25-05-2023

  https://doi.org/10.4081/gh.2023.1153

  1721

  PDF: 831

  HTML: 22
• 

  Spatial correlates of COVID-19 first wave across continental Portugal

  Bruno Barbosa, Melissa Silva, César Capinha, Ricardo A.C. Garcia, Jorge Rocha

  23-06-2022

  https://doi.org/10.4081/gh.2022.1073

  1374

  PDF: 461

  HTML: 45
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  Lung cancer associated with natural vegetation cover: spatial analysis in the state of Pará, eastern Brazil

  Bruna Rafaela Leite Dias, Laura Maria Vidal Nogueira, Ivaneide Leal Ataíde Rodrigues, Bruna Puty, Maria Liracy Batista de Souza, Gracileide Maia Corrêa, Altem Nascimento Pontes

  12-09-2025

  https://doi.org/10.4081/gh.2025.1399

  444

  PDF: 111

  HTML: 5
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  Seasonality and timing of peak abundance of Aedes albopictus in Europe: Implications to public and animal health

  Mina Petrić, Els Ducheyne, Céline M. Gossner, Cedric Marsboom, Gaëlle Nicolas, Roger Venail, Guy Hendrickx, Francis Schaffner

  14-05-2021

  https://doi.org/10.4081/gh.2021.996

  3975

  PDF: 1157

  HTML: 110
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  Climate and the distribution of vector-borne diseases: what's in store?

  Robert Bergquist

  08-05-2017

  https://doi.org/10.4081/gh.2017.549

  3172

  PDF: 1309

  HTML: 842

• Spatial analysis of risk factors for transmission of the Barmah Forest virus in Queensland, Australia

  Suchithra Naish, Kerrie Mengersen, Shilu Tong

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• Spatio-temporal variation in malaria transmission intensity in five agro-ecosystems in Mvomero district, Tanzania

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  HTML: 209
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  Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

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  1341

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  Assessment of malaria transmission changes in Africa, due to the climate impact of land use change using Coupled Model Intercomparison Project Phase 5 earth system models

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  2363

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• The acquired immunodeficiency syndrome in the State of Rio de Janeiro, Brazil: a spatio-temporal analysis of cases reported in the period 2001-2010

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• Susceptibility mapping of visceral leishmaniasis based on fuzzy modelling and group decision-making methods

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• Planning for Rift Valley fever virus: use of geographical information systems to estimate the human health threat of white-tailed deer (Odocoileus virginianus)-related transmission

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  Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events

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  2458

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  Implications from assessing environmental effects on spatio-temporal pattern of schistosomiasis in the Yangtze Basin, China

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• Environmental determinants of Opisthorchis viverrini prevalence in northeast Thailand

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  A geospatial analysis of cardiometabolic diseases and their risk factors considering environmental features in a midsized city in Argentina

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• Spatial scale effects in environmental risk-factor modelling for diseases

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• The use of a vest equipped with a global positioning system to assess water-contact patterns associated with schistosomiasis

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• Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021

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• Environmental and socio-economic risk modelling for Chagas disease in Bolivia

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• Geo-referencing livestock farms as tool for studying cystic echinococcosis epidemiology in cattle and water buffaloes from southern Italy

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